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Feedforward neural network

Known as: Feed-forward neural networks, Feedforward neural networks, Feedforward 
A feedforward neural network is an artificial neural network wherein connections between the units do not form a cycle. As such, it is different from… 
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Related topics

Related topics

38 relations
Activation functionArtificial intelligenceArtificial neural networkAutomatic differentiation

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2010
2010
Overfitting by PSO trained feedforward neural networks
The purpose of this paper is to investigate the overfitting behavior of particle swarm optimization (PSO) trained neural networks… 
2006
2006
Evolutionary design of constructive multilayer feedforward neural network
This paper proposes an evolutionary design methodology of multilayer feedforward neural networks based on constructive approach… 
Highly Cited
1998
Highly Cited
1998
Establishing impacts of the inputs in a feedforward neural network
Artificial neural network models are now being widely used in various areas of statistical research. Nevertheless, there is a… 
Highly Cited
1996
Highly Cited
1996
A time-domain feedback analysis of filtered-error adaptive gradient algorithms
This paper provides a time-domain feedback analysis of gradient-based adaptive schemes. A key emphasis is on the robustness… 
Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions… 
1994
1994
Image compression using a feedforward neural network
We present an image compression technique using a feedforward neural network. The neural network has three layers: one input… 
1993
1993
Evolving Neural Feedforward Networks
For many practical problem domains the use of neural networks has led to very satisfactory results. Nevertheless the choice of an… 
Review
1992
Review
1992
PLS/neural networks
1991
1991
Optimization and training of feedforward neural networks by genetic algorithms
The training of feedforward neural networks by backpropagation requires much time-consuming experimentation by the network… 
Highly Cited
1988
Highly Cited
1988
Parallel architectures for artificial neural nets
The authors advocate digital VLSI architectures for implementing a wide variety of artificial neural nets (ANNs). A programmable… 
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